Gate builds Gate.AI full-chain large model management platform: strengthening unified access and enterprise governance.

Gate announces the upgraded launch of its AI service platform Gate.AI , providing enterprises and developers with a one-stop intelligent large model routing service. Through core capabilities such as unified model access, intelligent routing, organizational governance, cost management, and data security, Gate.AI aims to lower the barrier to AI application adoption for enterprises and accelerate the large-scale deployment of large models in real business scenarios.

As AI technology rapidly evolves, enterprises face growing demands for model invocation efficiency, cost control, security governance, and organizational collaboration. Addressing these industry pain points, Gate.AI has built a comprehensive solution covering model access, resource scheduling, enterprise management, and security compliance, enabling enterprises to deploy and manage AI applications at lower costs and higher efficiency.

Currently, Gate.AI has integrated over 200 mainstream large models worldwide, supporting both OpenAI and Anthropic protocols. Enterprises can invoke model capabilities from different vendors through a single API, without needing to connect to multiple service provider interfaces separately. Development teams can flexibly select model resources based on business needs, achieving unified management and quick switching, thereby reducing development, operations, and migration costs.

One of the core features of Gate.AI is intelligent routing. Given the differences in performance, cost, and response speed among various models, Gate.AI can automatically match the optimal model based on task complexity, cost budget, and performance requirements, achieving a dynamic balance between capability and cost. Additionally, the platform supports vendor priority configuration and an automatic fallback mechanism. When a model or service becomes abnormal, the system automatically switches to backup resources to ensure business continuity and service stability.

Beyond model invocation optimization, Gate.AI further strengthens enterprise governance capabilities. The platform supports organizational structure management, role-based access control, member management, and unified API key management. Enterprises can build up to four levels of multi-tier organizational systems based on their management needs and configure differentiated permission policies for different teams. Through a unified console, administrators can centrally manage members, resources, and invocation policies, achieving standardized use of AI resources within the enterprise.

Cost governance is another key capability of this upgrade. As enterprises scale up their AI usage, effectively controlling investment and improving resource utilization efficiency becomes a critical issue. Gate.AI provides organizational shared quota pools, budget guardrails, cost attribution, and other features. Enterprise managers can view real-time overall organizational invocation status, member usage, cost data, and model usage structure, enabling a more transparent and granular cost management system.

In terms of data security and privacy protection, the platform adopts a zero data retention (ZDR) mechanism by default and supports enterprise-level data processing agreements (DPA), helping enterprises better safeguard data security and privacy control. Furthermore, to enhance enterprise-level risk control capabilities, Gate.AI introduces guardrail mechanisms. Administrators can set budget caps, API key quantity limits, and member quantity limits at different organizational levels, adding an additional layer of governance and risk control beyond model routing to ensure the secure and reasonable use of AI resources.

Currently, AI is gradually becoming an important infrastructure for enterprise digital transformation, and enterprises' needs for model invocation, cost optimization, security governance, and organizational collaboration are also increasing. This upgrade of Gate.AI not only further strengthens the infrastructure capabilities for enterprise AI applications but also provides a more mature and controllable solution for enterprises to use AI at scale.

As an important component of the Gate Intelligent Web3 strategy, Gate.AI is driving further integration of AI capabilities with Web3 infrastructure. By connecting world-leading model resources with enterprise-level governance systems, it helps developers and enterprise users more efficiently unlock the productivity value of AI. Going forward, Gate.AI will continue to expand its model ecosystem and enterprise service capabilities, building an open AI platform covering model access, intelligent routing, enterprise governance, and application innovation, providing long-term support for the intelligent upgrade of enterprises worldwide.

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About Gate

Founded in 2013 by Dr. Han, CEO and founder, Gate is one of the world’s leading cryptocurrency and comprehensive financial service platforms. It serves over 54 million users and supports more than 4,700 crypto assets and over 11,500 stock assets for trading, covering TradFi assets such as metals, stocks, indices, forex, and commodities, providing users with a one-stop, multi-asset trading experience. As an industry benchmark, Gate was the first to implement 100% proof of reserves, with a diversified product and ecosystem layout including Gate Wallet, Gate Ventures, and Gate for AI Agent.

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